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flat_N_max – AI Model by mcurmei | AlphaNeural AI
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mcurmei
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flat_N_max
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transformers
pytorch
tensorboard
distilbert
question-answering
generated_from_trainer
apache-2.0
endpoints_compatible
us
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flat_N_max
This model is a fine-tuned version of
distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.8536
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
1.2462
1.0
2213
1.7958
0.9293
2.0
4426
1.8093
0.7249
3.0
6639
1.8536
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.2.0
Tokenizers 0.12.1
